A New Adaptive Compressed Sensing Algorithm for Wireless Sensor Networks

摘要：

In this paper, a new adaptive compressed sensing algorithm for Wireless Sensor Network (WSN) was proposed. Power efficiency is an important requirement in WSN, however, measurement matrix used in classical compressed sensing is always dense, which can not satisfy this constraint. In the proposed algorithm, a new metric named total coefficients power is defined to guide the node selection to build a sparse additional projection vector, and the differential entropy is adopted to determine the coefficients. Simulations show that this new algorithm can obtain good reconstruction performance while reducing the communication cost.

关键词： total coefficients power adaptive compressed sensing node selection Wireless Sensor Network

作者: Zhi Liu Jun Liu Zhengding Qiu

作者单位: Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2452-2455

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）